Upload README.md with huggingface_hub

README.md

@@ -1,25 +1,43 @@
 ---
-title: Cloud RAG Webhook
+title: RAG Document Processing
 emoji: 📄
 colorFrom: blue
 colorTo: green
 sdk: docker
 app_port: 7860
 pinned: false
+models:
+  - sentence-transformers/all-MiniLM-L6-v2
+  - facebook/bart-large-cnn
 license: apache-2.0
 ---
 
-# Cloud RAG Webhook
+# RAG Document Processing
 
-This Space contains a RAG (Retrieval Augmented Generation) system for processing documents.
-It was migrated from the GitHub repository: https://github.com/Daanworg/cloud-rag-webhook.git
+This Hugging Face Space contains a RAG (Retrieval Augmented Generation) system for processing documents, built entirely with Hugging Face tools and models.
 
 ## Features
 
 - Automated processing of text files
-- Document AI integration
-- BigQuery storage for document chunks
-- Vertex AI for embeddings and search
-- GitHub backup integration
+- OCR and document processing with HF models
+- Vector storage with FAISS
+- Embeddings with sentence-transformers
+- Simple query interface with Gradio
 
-See the README_AUTOMATION.md file for details on how to use this system.
+## Implementation
+
+This is a Hugging Face-native implementation of the original cloud-based RAG system. It uses:
+
+- Sentence Transformers for embeddings
+- FAISS for vector search
+- Transformers models for document processing
+- Persistent storage for data
+- A100 GPU acceleration (for pro users)
+
+## Usage
+
+1. Upload documents to be processed
+2. The system automatically processes and indexes them
+3. Query the processed documents through the interface
+
+See the CLAUDE_HF.md file for implementation details.